Data Quality & Catalog ⚙️

Is there a function or custom ways to convert strings into camel case on DQS - Data Quality services?

Happy Tuesday Community! We started this week by sharing best practices on Monitoring Projects, and today we’ll be continuing with how to configure Monitoring Projects. If you have missed the first post you can find it here:Let's explore the best practices for configuring Monitoring Projects to ensure robust data quality checks and anomaly detection.Select Catalog ItemsGo to the Configuration & Results tab. To add catalog items: For a new project, select Add catalog items.   To add more items to an existing project, select +Add under Items to Monitor.   To remove an item, use the more options icon and select Delete. The listed catalog items will display a summary of: Structure: Aggregated results for structure checks on attributes. Anomalies: Detected anomalies on attributes. DQ Checks: Results of data quality checks assigned to attributes. Overall: Aggregated quality based on assigned DQ checks contributing to overall quality. Individual DQ dimensions, listed with the

We successfully connected Workday from Atacccama one web by using CData drivers.Now we are trying to do the same from One Desktop.How do we connect Workday objects  from Onedesktop by using CData drivers?We were able to connect Workday  through  the API's  but our requirement demands CDATA drivers connectivity.Thanks,Mahesh Arigela

Any one who has worked on Time series analysis option in V13.9 and successfully got the required results

Hi ,I want to know what was the input to be given in root object for JSON writer  

Eventually, you might need all your data quality results evaluated in One monitoring projects or within regular catalog items (via business terms and related DQ rules) exported to some reporting system or into excel. And it would be nice if it looked like this:  TLDR; There are 2 components attached you can use to export DQ results, one for monitoring projects, another one for regular catalog items. Monitoring ProjectsThe idea is to read all monitoring projects metadata, join it with their check results as well as rules names, catalog item names and voilà, we can save it to excel/csv or to some database table.It sounds like something very simple, and indeed there is no black magic, but nonetheless component looks a bit more elaborated: Catalog Items DQ (based on Term evaluations)The idea is to find all catalog items that have aggregated overall data quality and join them with the DQ rules results:This component has a bit simpler implementation:  Of course, the output of the components

Hi,I am wondering if the following is possible. On the glossary's term screen not all properties/metadata will always be filled. For instance in most occasions there will not be an abbreviation for a term.Is there a way, on the view screen only, to hide this abbreviation field when it contains no value?Thanks for your time!Kind regards,Albert de Ruiter

Hi team!I'm trying to implement a simple maker-checker process for Business Glossary Management: there are different Data Domains, each with its own responsible: Data Steward and Data Owner. So, for each Data Domain, the corresponding Data Steward creates the term --> the corresponding Data Owner approves it. Therefore, it's essential to consider the separation of permissions by data domains.Please give me some ideas on how I can implement it in the current product version. As far as I could investigate, grouping terms by different folders/categories in the Glossary doesn't help since I can't assign any roles to a particular folder/category: I can't assign Steward1 and Owner1 to the BusinessTerms group and Steward2 and Owner2 to the SecurityTerms, for example.How should it be implemented, then? Many thanks for considering my request!

Hi,We've loaded 2000+ terms and assigned those with desktop as a migration from a data dictionary. When we now have new catalog items, Ataccama suggests 20+ terms for a CI Attribute. This is not usable.How we tweak it to:Limit to only top 5 Stop when a term is already assigned.And here's an idea: If the column header is the same or can be matched using a simple fuzzy match, that is a better indicator than most AI.Another: Please skip some of the datatypes, a boolean … probably not a good idea.Any idea's?We are also wondering if we can turn it off.Thank you in advance!Marnix

Hi I want only the valid rule names in valid_rules column for Monitoring project export. How to implement that? 

Hi, I have created a SQL Catalog item in UI however I'm trying to retrieve only 10 or so rows from the database. I am using the SELECT TOP/LIMIT clause to choose how many rows I want to retrieve both queries are having errors, I'm not sure what the problem is, does anyone have any ideas? Thank you. SELECT TOP 10 FROM x  SELECT * FROM x LIMIT 10    

Hello,everyone. When you load data into the database using Jdbc Writer and execute the plan every time, it keeps adding the same data from above. How can I overwrite the data? For instance, I have a table like this.I saved it in the database, made some changes to the table, and when I re-executed the plan, it added the changes on top. Duplicates appeared, to put it bluntly.I will be very grateful for your help Thank you!

Hi community!We are almost halfway into our Monitoring Project Best Practice series, today we are going to talk about Lifecycles 🎢Let’s dive in! Introduction to Monitoring Project LifecyclesThe introduction of Monitoring Project Lifecycles allows you to simulate a multi-environment process (Configure > Test > Send for approval > Make public, and repeat) within a single physical environment. While you can create two physical environments, the non-production environment should primarily be used for specific purposes, such as testing new sources, integration plans, model changes, and service re-configurations. It's important to note that non-production environments are not intended for developing data quality monitoring projects and migrating between environments. For the best results, we recommend having one production environment for all metadata and a non-production environment for model changes, API work, and testing. This setup differs from other modules like RDM and MDM, w

Hello Community! As part of our ongoing Data Quality Best Practice series, today we'll dive into the world of time series data analysis.Time series data analysis is a powerful tool that enables you to unlock valuable insights from your transaction data by identifying trends and detecting anomalies. To make the most of this feature, here are some best practices to follow: Understanding Transaction Data and Time Series AnalysisTransaction data encompasses internal and external events or transactions within a business, often related to financial and logistical records. Common examples include sales orders, invoices, purchase orders, shipping documents, payments, and insurance claims.The benefits of time series analysis include:Visualizing time series data. AI-driven anomaly detection.   Keep in mind that time series analysis supports columns with timestamp information, such as DATETIME, DATE, or DAY data types. Configure and Run Time Series AnalysisTo get started with time series analysis

Can ‘SQL Select’ stage only be used to connect with SQL Server DB ?

Happy Wednesday community! The Power of Projects: A PrimerBefore you dive into the exciting world of data transformations and analysis, let's lay down the foundation: projects. Think of projects as your organized toolkit – a collection of plans, components, data files, workflows, and custom scripts, all neatly arranged within logical folders. These projects live within a workspace folder, ensuring everything is in its right place. Structuring ProjectsImagine the harmony of a well-structured project. Here's how it can look:A Glance at a Well-Structured Projectbat: Home to batch or shell scripts for triggering plans. bin: Houses DQC plans for data cleansing and deduplication. components: Stores the goldmine of component plans for main plans. data: Nurtures your data directories. ext: Contains external lookup files and replacement lists. bat: Serves batch or shell scripts to trigger plans for lookup files. build: Holds DQC plans for crafting lookups. lkp: The indexed version of looku

Hi everyone!How can we avoid manually changing stewards for all business terms and catalog items in Ataccama One? I will be very grateful for your helpThank you!